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Anil_sehgal_Final_Thesis.pdf (9.72 MB)

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CloudMEMS Platform for Design and Simulation of MEMS: Architecture, Coding, and Deployment

Sehgal, Anil
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1532963816803508

Abstract Details

2018, Master of Science, University of Toledo, Engineering (Computer Science).
Design and modeling of Micro-Electro-Mechanical Systems (MEMS) require in-depth knowledge of multiple disciplines due to the unique manufacturing processes involved in the fabrication of MEMS devices. Over the years, several pertinent MEMS modeling techniques such as finite element and nodal analysis have emerged within this growing research field. Well-established entities such as Coventerware and Comsol Multiphysics that are known for their efficacy in modeling devices have also applied/implemented these techniques in their work. Therefore, these techniques hold prominent value for further research. Furthermore, these software suites provide various advanced features and were developed considering broader usage. These software suites require a substantial amount of computation power and offer a steep learning curve. However, the beauty of Comsol Multiphysics lies in the Comsol Server with Java application programming interface, which enables access to Comsol's modeling capabilities with customized interfaces. This thesis proposes a three-tier cloud-based web model-view-controller (MVC) architecture as a proof-of-concept, which allows a user to design and model simple MEMS devices in the web browser without having to install any simulation software. This is accomplished by developing a loosely coupled MVC architecture with a web-based, lightweight CAD website view that interacts with the controller in an asynchronous fashion. Ultimately, this allows the user to store simulation data in a SQL-based data model. With regard to the modeling capabilities of the architecture, this thesis proposes an integration layer with Comsol Server as the back-end FEA simulation engine. Web-based simulation authoring and visualization results show that this multi-tier solution significantly improves modeling simplicity and accessibility to designers. Furthermore, the proposed architecture poses cost-effective advantages by eliminating the need for installing large CAD softwares originally necessary to run the simulations. Moreover, the asynchronous nature of the simulation engine promotes parallelization by enabling users to schedule multiple simulations while continuing to use the web client. The results also show that the proposed architecture is fully cloud compatible and extensible, implying that its performance can be scaled gracefully by expanding the cloud infrastructure, with minimal changes in the application programming.
Vijayakumar Devabhaktuni (Committee Chair)
Daniel Georgiev (Committee Co-Chair)
Devinder Kaur (Committee Member)
Henry Ledgard (Committee Member)
200 p.
Computer Science; Electrical Engineering; Information Technology
CloudMEMS; Cloud; MEMS; Simulation; Comsol; FEA

Recommended Citations

Citations

  • Sehgal, A. (2018). CloudMEMS Platform for Design and Simulation of MEMS: Architecture, Coding, and Deployment [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1532963816803508

    APA Style (7th edition)

  • Sehgal, Anil. CloudMEMS Platform for Design and Simulation of MEMS: Architecture, Coding, and Deployment. 2018. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1532963816803508.

    MLA Style (8th edition)

  • Sehgal, Anil. "CloudMEMS Platform for Design and Simulation of MEMS: Architecture, Coding, and Deployment." Master's thesis, University of Toledo, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1532963816803508

    Chicago Manual of Style (17th edition)

toledo1532963816803508
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© 2018, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.